From teleoperation to autonomous robot-assisted microsurgery: A survey
Robot-assisted microsurgery (RAMS) has many benefits compared to traditional
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …
Human-robot shared control for surgical robot based on context-aware sim-to-real adaptation
Human-robot shared control, which integrates the advantages of both humans and robots, is
an effective approach to facilitate efficient surgical operation. Learning from demonstration …
an effective approach to facilitate efficient surgical operation. Learning from demonstration …
Explainable hierarchical imitation learning for robotic drink pouring
To accurately pour drinks into various containers is an essential skill for service robots.
However, drink pouring is a dynamic process and difficult to model. Traditional deep …
However, drink pouring is a dynamic process and difficult to model. Traditional deep …
Explainability of deep learning models in medical video analysis: a survey
Deep learning methods have proven to be effective for multiple diagnostic tasks in medicine
and have been performing significantly better in comparison to other traditional machine …
and have been performing significantly better in comparison to other traditional machine …
Rethinking feature extraction: gradient-based localized feature extraction for end-to-end surgical downstream tasks
Several approaches have been introduced to understand surgical scenes through
downstream tasks like captioning and surgical scene graph generation. However, most of …
downstream tasks like captioning and surgical scene graph generation. However, most of …
Murphy: relations matter in surgical workflow analysis
S Zhao, Y Liu, Q Wang, D Sun, R Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
Autonomous robotic surgery has advanced significantly based on analysis of visual and
temporal cues in surgical workflow, but relational cues from domain knowledge remain …
temporal cues in surgical workflow, but relational cues from domain knowledge remain …
Explainable Interface for Human-Autonomy Teaming: A Survey
Nowadays, large-scale foundation models are being increasingly integrated into numerous
safety-critical applications, including human-autonomy teaming (HAT) within transportation …
safety-critical applications, including human-autonomy teaming (HAT) within transportation …
Evaluation of single-stage vision models for pose estimation of surgical instruments
Purpose Multiple applications in open surgical environments may benefit from adoption of
markerless computer vision depending on associated speed and accuracy requirements …
markerless computer vision depending on associated speed and accuracy requirements …
IoHRT: An Open-Source Unified Framework Towards the Internet of Humans and Robotic Things with Cloud Computing for Home-Care Applications
D Zhang, J Zheng, J Lin - arXiv preprint arXiv:2303.03560, 2023 - arxiv.org
The accelerating aging population has led to an increasing demand for domestic robotics to
ease caregivers' burden. The integration of Internet of Things (IoT), robotics, and human …
ease caregivers' burden. The integration of Internet of Things (IoT), robotics, and human …
Hierarchical Semi-Supervised Learning Framework for Surgical Gesture Segmentation and Recognition Based on Multi-Modality Data
Z Yuan, J Lin, D Zhang - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Segmenting and recognizing surgical operation trajectories into distinct, meaningful
gestures is a critical preliminary step in surgical workflow analysis for robot-assisted surgery …
gestures is a critical preliminary step in surgical workflow analysis for robot-assisted surgery …